Economic evaluation of beef cattle breeding schemes incorporating performance testing of young bulls for feed intake

2004 ◽  
Vol 44 (5) ◽  
pp. 393 ◽  
Author(s):  
J. A. Archer ◽  
S. A. Barwick ◽  
H.-U. Graser
Keyword(s):  
Beef Cattle ◽  
Feed Intake ◽  
Genetic Gain ◽  
Selection Criterion ◽  
Performance Testing ◽  
Cattle Breeding ◽  
Commercial Unit ◽  
Base Scenario ◽  
Breeding Schemes ◽  
The Impact

A model beef cattle breeding scheme consisting of a breeding unit and a commercial unit was used to evaluate the impact on genetic gain and profitability of incorporating feed intake measurements as an additional selection criterion in breeding programmes. Costs incurred by the breeding unit were compared with returns generated in the commercial unit, with bulls from the breeding unit being used as sires in the commercial unit. Two different market objectives were considered — a grass-fed product for the Australian domestic market, and a grain-fed product for the Japanese market. Breeding units utilising either artificial insemination or natural service were also considered. A base scenario was modelled incorporating a range of criteria available to Australian cattle breeders. A second scenario incorporated selection of sires for the breeding unit using a 2-stage selection process, with a proportion of bulls selected after weaning for measurement of (residual) feed intake. Measurement of feed intake of bulls improved accuracy of breeding unit sire selection by 14–50% over the equivalent base scenario, and genetic gain in the breeding objective was improved for all scenarios, with gains ranging from 8 to 38% over the base scenario. After accounting for the cost of measuring feed intake ($150–450), additional profit was generated from inclusion of feed intake measurement on a proportion of bulls for all breeding schemes considered. Profit was generally maximised where 10–20% of bulls were selected at weaning for measurement of intake, with improvement in profit ranging from 9 to 33% when optimal numbers of bulls were selected for intake measurement.

Economic evaluation of Hereford cattle breeding schemes incorporating direct and indirect measures of feed intake

2003 ◽  
Vol 54 (10) ◽  
pp. 1039 ◽  
Author(s):  
A. K. Kahi ◽  
S. A. Barwick ◽  
H-U. Graser
Keyword(s):  
Feed Intake ◽  
Genetic Gain ◽  
Selection Criteria ◽  
Serum Insulin ◽  
Specific Information ◽  
Cattle Breeding ◽  
Indirect Measures ◽  
Hereford Cattle ◽  
Breeding Objectives ◽  
Breeding Schemes

A deterministic approach was used to evaluate the effect of incorporating direct and indirect measures of feed intake as additional selection criteria in breeding schemes for Hereford cattle. A 2-tier nucleus breeding scheme consisting of a nucleus and a commercial sector was assumed. Four breeding objectives specific to Australian Hereford cattle were considered. These addressed production systems that targetted 4 markets (Domestic Supermarket, 'Hereford Prime', Short-fed Export, and Long-fed Export). The breeding objectives differed especially in the feed cost involved for differing amounts of grain finishing and in the extent to which marbling is valued by the market (from none to quite a lot). The breeding schemes evaluated differed in the measures available for use as selection criteria. The schemes ranged from one that utilised growth, scanned carcass and fertility criteria currently available to Australian cattle breeders (Scheme 1) to one which also incorporated residual feed intake (RFI) and blood serum insulin-like growth factor I (IGF-1) criteria (Scheme 5). The latter scheme included selection of sires for the nucleus using a 2-stage selection process, with a proportion of bulls selected after weaning for measurement of RFI. Schemes utilising either IGF-1 or RFI or both as criteria generated additional genetic gain and profitability for each breeding objective. Profit was optimal across all the Hereford cattle breeding objectives when the top 5% of bulls was measured for RFI after being selected on an index incorporating IGF-1 and other information available on the bull and its relatives at a young age. Further increase in the proportion of bulls measured for RFI for consideration in the second selection stage resulted in a slow decline in profit per cow in the population and a flat response in genetic gain. In the absence of more breed-specific information, these results may also have application in breeds other than Herefords.

scholarly journals DNA Testing and Genetic Evaluation for Poll Breeding in Tropically Adapted Beef Cattle

Proceedings ◽  
2020 ◽  
Vol 36 (1) ◽  
pp. 98
Author(s):  
Imtiaz A.S. Randhawa ◽  
Michael R. McGowan ◽  
Laercio R. Porto-Neto ◽  
Ben J. Hayes ◽  
Russell E. Lyons
Keyword(s):  
Beef Cattle ◽  
Animal Welfare ◽  
Genetic Variants ◽  
Chromosome 1 ◽  
Health Production ◽  
Dna Testing ◽  
Genomic Evaluation ◽  
Cattle Breeding ◽  
Breeding Schemes ◽  
Estimated Breeding Values

In beef cattle, horn management is practiced to physically or surgically remove horns for the safety of animals and workers. However, invasive practices of dehorning and disbudding are a great threat to animal welfare, health, production and human safety, as well as labour intensive and costly. The most effective way to limit the impacts and costs of horns is to prevent their occurrences by breeding naturally polled (hornless) herds. Horn development is complex, although two mutually exclusive genetic variants (Celtic and Friesian) have been found prevalent on each copy of chromosome 1 in most polled cattle. Predicting genotypes in an animal is challenging. Available genetic testing assays were often limited in tropically adapted beef cattle. In this study we present a new optimized poll testing (OPT) assay, which has been bundled with SNP genotyping arrays being used for genomic evaluation in cattle. Breeding schemes can profile future parents for pure-polled stock based on the OPT results. We also evaluated the factors causing complexity in horn conditions. Thus, we coupled OPT predictions with head-status and sex distributions, by modelling genetic and non-genetic impacts, revealing that genetics, sex and sex hormones control horn ontology. Finally, concerns of polledness adversely affecting production and reproduction were investigated by using estimated breeding values of several beef traits. We found no detrimental effects of polledness on production or reproduction. Overall, this research concludes that genetically polled cattle will minimize issues about animal welfare and management costs without reducing production potentials in the tropically adapted beef cattle.

Predicting genetic gain when rates of inbreeding are constrained to pre-defined values

2003 ◽  
Vol 2003 ◽  
pp. 46-46
Author(s):  
S. Avendaño ◽  
J.A. Woolliams ◽  
B. Villanueva
Keyword(s):  
Beef Cattle ◽  
Genetic Gain ◽  
Index Score ◽  
Optimal Selection ◽  
Dynamic Selection ◽  
Novel Approach ◽  
Breeding Schemes ◽  
The Uk ◽  
Selection Algorithms

Dynamic selection algorithms using quadratic indices to optimise the contributions of selection candidates for maximising rates of genetic gain (ΔG) while constraining the rate of inbreeding (ΔF) in the long-term to pre-defined values, are available (Grundy et al, 1998). Avendaño et al (2001 a,b) applied these optimal selection algorithms on the UK Meatlinc (sheep) and Aberdeen Angus (beef cattle) pedigree breeds and found substantial expected increases (of at least 17%) in the average index score at the observed ΔF. Although these algorithms constitute powerful operational tools for breeding schemes, the framework for deterministically predicting ΔG under optimal selection with restricted ΔF is not yet available. This study presents a novel approach to this problem.

scholarly journals Beef cattle breeding in Australia with genomics: opportunities and needs

2012 ◽  
Vol 52 (3) ◽  
pp. 100 ◽  
Author(s):  
D. J. Johnston ◽  
B. Tier ◽  
H.-U. Graser
Keyword(s):  
Beef Cattle ◽  
Genomic Selection ◽  
Genetic Gain ◽  
Information Needs ◽  
Genomic Information ◽  
Female Reproduction ◽  
Genetic Progress ◽  
Cattle Breeding ◽  
Phenotypic Data ◽  
Genomic Predictions

Opportunities exist in beef cattle breeding to significantly increase the rates of genetic gain by increasing the accuracy of selection at earlier ages. Currently, selection of young beef bulls incorporates several economically important traits but estimated breeding values for these traits have a large range in accuracies. While there is potential to increase accuracy through increased levels of performance recording, several traits cannot be recorded on the young bull. Increasing the accuracy of these traits is where genomic selection can offer substantial improvements in current rates of genetic gain for beef. The immediate challenge for beef is to increase the genetic variation explained by the genomic predictions for those traits of high economic value that have low accuracies at the time of selection. Currently, the accuracies of genomic predictions are low in beef, compared with those in dairy cattle. This is likely to be due to the relatively low number of animals with genotypes and phenotypes that have been used in developing genomic prediction equations. Improving the accuracy of genomic predictions will require the collection of genotypes and phenotypes on many more animals, with even greater numbers needed for lowly heritable traits, such as female reproduction and other fitness traits. Further challenges exist in beef to have genomic predictions for the large number of important breeds and also for multi-breed populations. Results suggest that single-nucleotide polymorphism (SNP) chips that are denser than 50 000 SNPs in the current use will be required to achieve this goal. For genomic selection to contribute to genetic progress, the information needs to be correctly combined with traditional pedigree and performance data. Several methods have emerged for combining the two sources of data into current genetic evaluation systems; however, challenges exist for the beef industry to implement these effectively. Changes will also be needed to the structure of the breeding sector to allow optimal use of genomic information for the benefit of the industry. Genomic information will need to be cost effective and a major driver of this will be increasing the accuracy of the predictions, which requires the collection of much more phenotypic data than are currently available.

scholarly journals Optimization of a specialized beef breeding program with a crossbreeding component

2002 ◽  
Vol 45 (5) ◽  
pp. 433-441
Author(s):  
B. Fuerst-Waltl ◽  
A. Willam ◽  
J. Sölkner
Keyword(s):  
Genetic Gain ◽  
Performance Testing ◽  
Beef Cows ◽  
Breeding Population ◽  
Cattle Breeding ◽  
Breeding Programs ◽  
Dual Purpose ◽  
Beef Breed ◽  
Calving Ease ◽  
Natural Service

Abstract. A complex deterministic approach (ZPLAN) was used to optimize the breeding programs for beef breeds. For the model population 1,000 beef cows and 60,000 dual purpose Simmental cows for crossbreeding were assumed. The percentage of AI was 25% within the beef breed and 93% within the Simmental cows. Domestic AI beef bulls were used for crossbreeding only. The total merit index included beef traits (birth weight, 200-day-weight direct and maternal, 365-day-weight, daily gain, dressing percentage, EUROP grading score) and functional traits (calving ease, stillbirth, fertility and functional longevity). The proportion of foreign proven and domestic AI bulls was varied as well as the number of bulls tested on stations and on contract farms. Annual monetary genetic gain and discounted profit were used to evaluate alternative breeding strategies. Extending the number of bulls tested on stations and establishing performance testing of natural service bulls on contract farms increased the annual monetary genetic gain and the discounted profit, especially when domestic AI bulls were also used in the beef cattle breeding population.

A comparison of "bonus" and "quota" systems utilising the sry gene in beef cattle breeding

1993 ◽  
Vol 1993 ◽  
pp. 35-35
Author(s):  
S.C. Bishop ◽  
J.A. Woolliams
Keyword(s):  
Beef Cattle ◽  
Time Horizon ◽  
Mating Strategy ◽  
Mating Strategies ◽  
Sry Gene ◽  
Quota System ◽  
Cattle Breeding ◽  
Commercial Farms ◽  
Breeding Schemes ◽  
Traditional Breeding

The SRY gene controls the presence of testes (i.e. maleness) in mammals. This has been demonstrated by Koopman et al (1991), who bred transgenic XX mice with a copy of the SRY gene on an autosome which were phenotypically male, albeit infertile. A fertile XY male with a copy of the SRY gene on an autosome should, theoretically, produce a greater proportion of offspring which are phenotypically male. This would be advantageous in, for example, breeding Terminal beef sires, where male calves are more valuable than females calves on commercial farms. The possible use of beef cattle transgenic for the SRY gene was investigated by Bishop and Woolliams (1991) who found that there were small genetic advantages in breeding schemes using these bulls, compared to traditional breeding schemes, although there may be practical problems in running such schemes. Their findings pertained to a restricted mating strategy (the "quota" system) and a restricted time horizon (15 years), however. This paper investigates the possible application of the SRY gene considering different mating strategies and a flexible time horizon.

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